Triple

T8939820
Position Surface form Disambiguated ID Type / Status
Subject Creole Day in Dominica E212870 entity
Predicate alsoKnownAs P39 FINISHED
Object Jounen Kwéyòl E760155 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jounen Kwéyòl | Statement: [Creole Day in Dominica, alsoKnownAs, Jounen Kwéyòl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jounen Kwéyòl
Context triple: [Creole Day in Dominica, alsoKnownAs, Jounen Kwéyòl]
  • A. Jounen Kwéyòl chosen
    Jounen Kwéyòl is an annual cultural festival in Saint Lucia celebrating Kwéyòl (Creole) language, music, food, and traditional heritage.
  • B. Kola Kwariani
    Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
  • C. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • D. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • E. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b7484481909e0d7610552f5386 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1eb308c81909f5be133c75ad568 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.